Matplotlib is a plotting library for creating static, animated, and interactive visualizations in Python. Matplotlib can be used in Python scripts, the Python and IPython shell, web application servers, and various graphical user interface toolkits like Tkinter, awxPython, etc.
In-order to create a scatter plot with several colors in matplotlib, we can use the various methods:
Using the parameter marker color to create a Scatter Plot
The possible values for marker color are:
- A single color format string.
- A 2-D array in which the rows are RGB or RGBA.
Example: Using the c parameter to depict scatter plot with different colors in Python.
Python3
# import required moduleimport matplotlib.pyplot as plt# first data pointx = [1, 2, 3, 4]y = [4, 1, 3, 6]# depict first scatted plotplt.scatter(x, y, c='green')# second data pointx = [5, 6, 7, 8]y = [1, 3, 5, 2]# depict second scatted plotplt.scatter(x, y, c='red')# depict illustrationplt.show() |
Output:
create a Scatter Plot with several colors in Matplotlib
Using the colormap to create a Scatter Plot
Colormap instances are used to convert data values (floats) from the interval [0, 1] to the RGBA color.
Example: Using the colormap to depict scatter() plot with RGB colors.
Python3
# import required modulesimport matplotlib.pyplot as pltimport numpy# assign data pointsa = numpy.array([[9, 1, 2, 7, 5, 8, 3, 4, 6], [4, 2, 3, 7, 9, 1, 6, 5, 8]])# assign categoriescategories = numpy.array([0, 1, 2, 0, 1, 2, 0, 1, 2])# use colormapcolormap = numpy.array(['r', 'g', 'b'])# depict illustrationplt.scatter(a[0], a[1], s=100, c=colormap[categories])plt.show() |
Output:
create a Scatter Plot with several colors in Matplotlib
Example: Here, we manually assign the colormap using color codes.
Python3
# import required modulesimport matplotlib.pyplot as pltimport numpy# assign data pointsa = numpy.array([[1, 2, 3, 4, 5, 6, 7, 8, 9], [9, 8, 7, 6, 5, 4, 3, 2, 1]])# assign categoriescategories = numpy.array([0, 1, 1, 0, 0, 1, 1, 0, 1])# assign colors using color codescolor1 = (0.69411766529083252, 0.3490196168422699, 0.15686275064945221, 1.0)color2 = (0.65098041296005249, 0.80784314870834351, 0.89019608497619629, 1.0)# assign colormapcolormap = numpy.array([color1, color2])# depict illustrationplt.scatter(a[0], a[1], s=500, c=colormap[categories])plt.show() |
Output:
create a Scatter Plot with several colors in Matplotlib
